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Comparison amongst [PGNY, SPX, XLV]
Data updated 2025-Sep-09 (Tuesday)Compare Progyny Inc, S&P 500 Index, Health Care Select Sector SPDR Fund side by side across multiple time-frames, technicals & financials . To compare performance using custom dates or benchmarking with a custom security, try alternate view
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Technical indicators calculated using daily values. Hover on cells below for additional contextual info
| Progyny Inc | S&P 500 Index | Health Care Select Sector S... | |
|---|---|---|---|
| Sector | Health Care | ||
| Industry | Care & Services | Investment Trusts/Mutual Funds | |
| % off 5-d SMA/EMA | -0.5% -0.2% | +0.4% +0.3% | +0.6% +0.5% |
| % off 10-d SMA/EMA | -0.8% -0.5% | +0.6% +0.6% | +0.9% +0.8% |
| % off 20-d SMA/EMA | -0.4% -0.4% | +0.9% +1.0% | +1.5% +1.5% |
| % off 50-d SMA/EMA | +0.1% +0.6% | +2.3% +2.8% | +2.8% +2.3% |
| % off 100-d SMA/EMA | +2.6% +2.5% | +7.0% +5.4% | +3.0% +1.8% |
| % off 200-d SMA/EMA | +8.9% +2.8% | +9.0% +8.8% | -0.4% +0.1% |
| RSI | 49 | 61 | 62 |
| MACD | -0.05 | -1.49 | 0.12 |
| Stochastic Oscillator | 32.0 40.0 | 80.8 80.5 | 72.2 66.4 |
| ADX | 28.7 | 22.0 | 15.3 |
| CCI | -33.2 | 128.0 | 104.6 |
| OBV | 72.4 Million | 1.35 Trillion | 1.02 Billion |
| Chaikin AD | 77.7 Million | 2.13 Trillion | 2.32 Billion |
| ATR | 0.82 | 52.95 | 1.54 |
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Performance
Technicals Moving Averages |
Performance
Technicals Moving Averages |
Performance
Technicals Moving Averages |
Relative Strength Index (RSI) is considered overbought when > 70 and oversold when < 30
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Snapshots : Popular lists of stocks & etfs (best streaks, most beaten down etc. in last X days)
Market Performance : Recent performance across covered assets
Historical Performance : Prior & Subsequent performance across assets on a historical date
Market Technicals : Technical indicator levels across covered assets
Market Seasonality : Seasonal performance by calendar months across covered assets
Performance Comparison : Chart compare/benchmark performance with multiple assets over time
Side-by-Side Comparison : Contrast with other assets over time in a side-by-side presentation Currently Viewing
Sector : Analyze & compare Sector performance
Industry : Analyze & compare Industries within Sectors
Breakouts & Breakdowns : Identifying stocks/etfs which recently traded up/down in unusually elevated volumes
Swing Volatility : Identifying stocks/etfs with elevated volatility
World Explorer : Performance & Correlation between key countries across the world
Advance/Decline : Sentiment using accumulated advances & declines in S&P 500 stocks
Highs/Lows : Sentiment using frequency of key highs/lows in S&P 500 stocks
Moving Average : Sentiment using frequency of S&P 500 stocks above key moving averages
Technical Distribution : Sentiment using frequency distribution of S&P 500 stocks with bullish/bearish technical levels
Snapshots : Popular lists of stocks & etfs (best streaks, most beaten down etc. in last X days)
Market Performance : Recent performance across covered assets
Historical Performance : Prior & Subsequent performance across assets on a historical date
Market Technicals : Technical indicator levels across covered assets
Market Seasonality : Seasonal performance by calendar months across covered assets
Performance Comparison : Chart compare/benchmark performance with multiple assets over time
Side-by-Side Comparison : Contrast with other assets over time in a side-by-side presentation Currently Viewing
Sector : Analyze & compare Sector performance
Industry : Analyze & compare Industries within Sectors
Breakouts & Breakdowns : Identifying stocks/etfs which recently traded up/down in unusually elevated volumes
Swing Volatility : Identifying stocks/etfs with elevated volatility
World Explorer : Performance & Correlation between key countries across the world
Advance/Decline : Sentiment using accumulated advances & declines in S&P 500 stocks
Highs/Lows : Sentiment using frequency of key highs/lows in S&P 500 stocks
Moving Average : Sentiment using frequency of S&P 500 stocks above key moving averages
Technical Distribution : Sentiment using frequency distribution of S&P 500 stocks with bullish/bearish technical levels